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联合血压和心率轨迹与急性主动脉夹层危重症患者的预后相关:基于群体的多轨迹分析。

Combined blood pressure and heart rate trajectories are associated with prognosis in critically ill patients with acute aortic dissection: A group-based multi-trajectory analysis.

作者信息

Shen Xuejun, Li Jufang, Yan Hongle, Zhou Shuyi, Yang Shengli, Li Weiping

机构信息

Clinical Research Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China.

Shantou University Medical College, Shantou, 515041, China.

出版信息

Heliyon. 2024 Apr 22;10(9):e29934. doi: 10.1016/j.heliyon.2024.e29934. eCollection 2024 May 15.

Abstract

BACKGROUND

Managing systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR) is pivotal in acute aortic dissection (AAD) care. However, no prior studies have jointly analyzed the trajectories of these parameters. This research aimed to characterize their joint longitudinal trajectories and investigate the influence on AAD prognosis.

METHODS

We included AAD patients from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Using group-based multi-trajectory modeling (GBMTM), we identified combined trajectories of SBP, DBP, and HR within the initial 24 h of intensive care unit (ICU) admission. Cox proportional hazard regression, log-binomial regression, and logistic regression were employed to assess the association between trajectory groups and mortality outcomes.

RESULTS

Data from 337 patients were analyzed. GBMTM identified five combined trajectory groups. Group 1 featured rapidly declining SBP and DBP with high pulse pressure and low HR; Group 2 showed high to moderate SBP with slight rebound and persistently low HR; Group 3 displayed persistently moderate BP and HR; Group 4 was characterized by moderate blood pressure with persistently high HR; and Group 5 had high to moderate SBP with slight rebound, high but gradually declining DBP, and slightly high HR. Group 3 demonstrated a lower risk of mortality, with an adjusted hazard ratio of 0.32 (95 % CI, 0.14-0.74), and the adjusted relative risks for in-hospital, 30-day, and 1-year mortalities were 0.37 (95 % CI, 0.15-0.87), 0.25 (95 % CI, 0.10-0.62), and 0.41 (95 % CI, 0.22-0.79), respectively. The time-independent C-index curve demonstrated that the multi-trajectory groups had higher C-index values than any univariate trajectory groups or admission values of SBP, DBP, and HR.

CONCLUSIONS

Utilization of GBMTM can yield data-driven insights to identify distinct subphenotypes in AAD patients. The combined trajectories of SBP, DBP, and HR within 24 h of ICU admission significantly influenced the mortality rate.

摘要

背景

在急性主动脉夹层(AAD)的治疗中,控制收缩压(SBP)、舒张压(DBP)和心率(HR)至关重要。然而,此前尚无研究对这些参数的变化轨迹进行联合分析。本研究旨在描述它们的联合纵向变化轨迹,并探讨其对AAD预后的影响。

方法

我们纳入了重症医学信息集市(MIMIC)-IV数据库中的AAD患者。使用基于组的多轨迹建模(GBMTM),我们确定了重症监护病房(ICU)入院后最初24小时内SBP、DBP和HR的联合轨迹。采用Cox比例风险回归、对数二项回归和逻辑回归来评估轨迹组与死亡结局之间的关联。

结果

分析了337例患者的数据。GBMTM确定了五个联合轨迹组。第1组的特点是SBP和DBP迅速下降,脉压高,HR低;第2组显示SBP高至中度,有轻微反弹,HR持续低;第3组表现为BP和HR持续中度;第4组的特征是血压中度,HR持续高;第5组的SBP高至中度,有轻微反弹,DBP高但逐渐下降,HR略高。第3组的死亡风险较低,调整后的风险比为0.32(95%CI,0.14-0.74),住院、30天和1年死亡率的调整后相对风险分别为0.37(95%CI,0.15-0.87)、0.25(95%CI,0.10-0.62)和0.41(95%CI,0.22-0.79)。时间独立的C指数曲线表明,多轨迹组的C指数值高于任何单变量轨迹组或SBP、DBP和HR的入院值。

结论

利用GBMTM可以获得数据驱动的见解,以识别AAD患者中不同的亚表型。ICU入院后24小时内SBP、DBP和HR的联合轨迹显著影响死亡率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b5/11066306/5e0f2be4462d/gr1.jpg

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